- Introduced context_window_tokens in ModelConfig and LLMProviderConfig structs.
- Updated context window estimation logic in ContextCompressor to use context_window_tokens.
- Modified tests to accommodate new context_window_tokens field.
- Refactored memory maintenance logic into a new memory_maintenance.rs file for better organization.
- Ensured backward compatibility by providing default values where necessary.
Co-authored-by: Copilot <copilot@github.com>
- Adjusted formatting and indentation in various files for better clarity.
- Consolidated multi-line statements into single lines where appropriate.
- Enhanced error handling messages for better debugging.
- Added a new InboundProcessor struct to handle inbound messages more effectively.
- Updated test cases to ensure they align with the new code structure.
- Added `system_context` field to `ChatMessage` for better message context handling.
- Introduced constants for system context prompts in `message.rs`.
- Updated `Session` to manage background history compaction, including methods to start and finish compaction.
- Implemented logic to schedule background compaction after message processing in `SessionManager`.
- Enhanced database schema to support new `system_context` field in messages.
- Added functionality to compact active history, preserving system messages and summaries.
- Updated tests to validate new compaction logic and ensure message integrity.
- Removed unused functions and cleaned up code in various modules for better maintainability.
Co-authored-by: Copilot <copilot@github.com>
- Introduced llm_timeout_secs in ProviderConfig and LLMProviderConfig to specify timeout for LLM requests.
- Updated OpenAIProvider and AnthropicProvider to utilize the timeout setting when creating HTTP clients.
- Enhanced error handling for API responses to include timeout information.
- Modified SessionManager to support agent-specific provider configurations, allowing for more flexible agent management.
- Added tests to verify the correct behavior of timeout settings and agent task validation.
- Introduced ToolMessageState enum to represent tool execution states (Completed, PendingUserAction).
- Updated ChatMessage struct to include tool_state for tracking tool execution status.
- Modified AgentLoop to handle tool results and pending actions, providing appropriate responses to users.
- Enhanced BashTool to detect when commands require user interaction, returning a pending state with hints.
- Updated WebSocket protocol to support tool pending messages, allowing clients to handle pending actions effectively.
- Refactored related tests to ensure proper functionality of new pending state handling.
